Evidence map›Paper›PMID 36554735›Full record

ArticleInternational journal of environmental research and public health2022

Empirical Study on the Influence of Urban Environmental Industrial Structure Optimization on Ecological Landscape Greening Construction.

Lili Yang, Ning Ma

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Lili YangSchool of Art and Design, Shandong Women's College, Jinan 250300, China.
Ning MaSchool of Economics and Management, Wuhan University, Wuhan 430072, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the rapid development of the economy in China, the ecological environment problem of the city has become an important factor that restricts the development of our economy and society. People gradually realize that, while rapidly generating wealth, they have been shrouded by the shadow of environmental pollution for a long time, which makes people feel more and more frightened and thoughtful. Industry is the carrier of economic activities, so we must pay attention to the relationship between industry and the natural environment. In this case, people pay more and more attention to the study of ecological construction and bring it into the optimization of environmental industrial structure. During this period, to correctly handle the relationship between industrial structure and ecological construction, to realize the overall transformation, development and cultivation of industrial structure, is the inevitable choice to promote the healthy and sustainable development of enterprises. From the perspective of industrial structure adjustment and the green space system, this paper makes theoretical assumptions about the impact of environmental industrial structure adjustment on urban ecological green space construction. Then, through the panel data of 260 cities from 2008 to 2018, the impact of China's industrial structure adjustment on the scale of urban ecological green space was empirically analyzed. On this basis, this paper puts forward some policy recommendations for the development of urban ecological green space in our country.

Indexed as

EnvironmentIndustryChinaCitiesEconomic DevelopmentHumansSustainable Developmentecological landscapegreen constructionoptimization of industrial structureurban environment

Identifiers

PMID36554735
PMCPMC9779087

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.